CN108512670A - A kind of method and its terminal of group creating - Google Patents
A kind of method and its terminal of group creating Download PDFInfo
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Abstract
The present invention is suitable for information discriminating technology field, provides a kind of method and its terminal of group creating, including：Receive the request of Client-initiated group creating；Multiple first facial images that identification group photo image includes, and extract the face feature parameter of each first facial image；The face feature parameter of the face feature parameter of any first facial image user correspondings with each social account of the user-association respectively is imported into matching degree computation model, calculates the matching degree between the first facial image and each social activity account；The highest social account of matching degree is chosen as the corresponding target account of the first facial image；Create the group for including all target accounts.The present invention reduces the operating procedure of user, improves and build group efficiency.Occasion especially more convenient and larger number of users in the shootings such as party or party group photo, can also realize the purpose that all users on the scene are created with group, avoid the case where account omission is added.
Description
Technical field
The invention belongs to information discriminating technology field more particularly to the methods and its terminal of a kind of group creating.
Background technology
With the continuous popularization of social networking application, user is usually interactive using social networking application and other users progress, and group
As interactive form mostly important in social networking application, how quickly to create group and then directly affect user for the social networking application
Usage experience.
Existing group creating method needs user to pull the social account needed to establish in group manually, or passes through
Each social activity account manual search group name applies being added after finding the group, and step is complicated, leads to the operation for creating group
It is less efficient.Especially in the occasions such as party or party, the account base for building group is larger, further increases operation difficulty, often
There is the case where account omits addition.
Invention content
In view of this, an embodiment of the present invention provides a kind of method of group creating and its terminal, to solve existing group
The method that group creates, step is complicated, creates the low problem of the operating efficiency of group.
The first aspect of the embodiment of the present invention provides a kind of method of group creating, including：
Receive the request of Client-initiated group creating；The group creating request carries group photo image；
It identifies multiple first facial images that the group photo image includes, and extracts the face of each first facial image
Portion's characteristic parameter；
By the face feature parameter of any first facial image respectively with each social account of the user-association
The face feature parameter of corresponding user imports matching degree computation model, calculates first facial image and each social account
Matching degree between family；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the
The number for the face feature parameter that one facial image includes；The FiFor the face feature ginseng of i-th of first facial image
Several parameter values；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is certainly
Right constant；
The highest social account of the matching degree is chosen as the corresponding target account of first facial image；
Create the group for including all target accounts.
The second aspect of the embodiment of the present invention provides a kind of terminal device, including memory, processor and is stored in
In the memory and the computer program that can run on the processor, when the processor executes the computer program
Realize following steps：
Receive the request of Client-initiated group creating；The group creating request carries group photo image；
It identifies multiple first facial images that the group photo image includes, and extracts the face of each first facial image
Portion's characteristic parameter；
By the face feature parameter of any first facial image respectively with each social account of the user-association
The face feature parameter of corresponding user imports matching degree computation model, calculates first facial image and each social account
Matching degree between family；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the
The number for the face feature parameter that one facial image includes；The FiFor the face feature ginseng of i-th of first facial image
Several parameter values；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is certainly
Right constant；
The highest social account of the matching degree is chosen as the corresponding target account of first facial image；
Create the group for including all target accounts.
The third aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, the computer program to realize following steps when being executed by processor：
Receive the request of Client-initiated group creating；The group creating request carries group photo image；
It identifies multiple first facial images that the group photo image includes, and extracts the face of each first facial image
Portion's characteristic parameter；
By the face feature parameter of any first facial image respectively with each social account of the user-association
The face feature parameter of corresponding user imports matching degree computation model, calculates first facial image and each social account
Matching degree between family；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the
The number for the face feature parameter that one facial image includes；The FiFor the face feature ginseng of i-th of first facial image
Several parameter values；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is certainly
Right constant；
The highest social account of the matching degree is chosen as the corresponding target account of first facial image；
Create the group for including all target accounts.
The method and its terminal for implementing a kind of group creating provided in an embodiment of the present invention have the advantages that：
The embodiment of the present invention is asked by receiving a group creating comprising group photo image, and is identified in the group photo image
Including the first facial image, determine the social account corresponding to each first facial image, and handle and the first facial image pair
The social account answered is identified as target account, and group is created to pull target account automatically.With existing group creating method
It compares, group creating method provided by the invention chooses target account manually without user, only need to upload group photo image, you can from
It is dynamic to determine the social account implied in the group photo image, and group is created according to the target account that identification obtains, reduce user
Operating procedure, improve and build group efficiency.It is especially larger in the more convenient and number of users of the shootings such as party or party group photo
Occasion can also realize the purpose that all users on the scene are created with group, avoid the case where account omission is added.
Description of the drawings
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description be only the present invention some
Embodiment for those of ordinary skill in the art without having to pay creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is a kind of implementation flow chart of the method for group creating that first embodiment of the invention provides；
Fig. 2 is a kind of specific implementation flow chart of the method for group creating that second embodiment of the invention provides；
Fig. 3 is a kind of specific implementation flow chart of the method for group creating that third embodiment of the invention provides；
Fig. 4 is a kind of specific implementation flow chart of the method for group creating that fourth embodiment of the invention provides；
Fig. 5 is a kind of specific implementation flow chart of the method for group creating that fourth embodiment of the invention provides；
Fig. 6 is a kind of structure diagram for terminal device that one embodiment of the invention provides；
Fig. 7 is a kind of schematic diagram for terminal device that another embodiment of the present invention provides.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to the accompanying drawings and embodiments, right
The present invention is further elaborated.It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, and
It is not used in the restriction present invention.
The embodiment of the present invention is asked by receiving a group creating comprising group photo image, and is identified in the group photo image
Including the first facial image, determine the social account corresponding to each first facial image, and handle and the first facial image pair
The social account answered is identified as target account, creates group to pull target account automatically, solves existing group creating
Method, step is complicated, creates the low problem of the operating efficiency of group.
In embodiments of the present invention, the executive agent of flow is the terminal of group creating, which includes intelligent hand
The equipment such as machine, computer equipment, tablet computer, product test server.Particularly, which is smart mobile phone, the intelligence
Can mobile phone be provided with photographing module, user can be by building the target account of group needed for the photographing module on terminal device directly acquisition
The group photo image of corresponding user, and group's request is built in the initiation of the application program by being installed on smart mobile phone.Fig. 1 shows this hair
The implementation flow chart of the method for the group creating that bright first embodiment provides, details are as follows：
In S101, the request of Client-initiated group creating is received；The group creating request carries group photo image.
In the present embodiment, user can carry out communication link by the user terminal of itself and terminal device provided by the invention
It connects, and a group creating request is sent to terminal device by the communication connection, when terminal device receives the group creating
After request, then the relevant operation of S101 is executed.Wherein, user can choose one when sending group creating request in local photograph album
Width includes the group photo image of the required target user for building group, and generates group creating request according to the group photo image.
In the present embodiment, user can direct operating terminal equipment, build mass-sending by clicking in terminal device interface
Button starts group creating operation, builds when the user clicks after having mass-sended button, then can generate one and build group created request,
Terminal device then executes the relevant operation of S101 after detecting that this builds group created request.Certainly, user is carrying out group creating
It can be selected before using common group creating mode or the side provided in this embodiment by the image creation group that takes a group photo
Formula, wherein common group creating mode is to choose target account manually.If user is using the method provided through this embodiment
Group creating is carried out, then terminal device can prompt user to upload the group photo image for group creating, or start camera shooting application
Program simultaneously indicates group photo image of camera function acquisition of the user by terminal device for group creating.When user pass through it is above-mentioned
One of two ways determines group photo image, then terminal device can generate a group creating request according to the group photo image.
Optionally, in the present embodiment, terminal device can recognize that the group creating is asked after receiving group creating request
The type asked, group creating mode used by determining.Specifically, if what is carried in group creating request is group photo image,
Execute the relevant operation of S102；If what is carried in group creating request is account identification, the account for directly including according to the inside
Mark creates group.
In the present embodiment, which is specially the group photo image of the target user about the group created, eventually
End equipment can obtain each target user by the group photo image recognition, then determine that its is right by the face information of target user
The social account answered, realizes the purpose of group creating.
In S102, multiple first facial images that the group photo image includes are identified, and extract each described the first
The face feature parameter of face image.
In the present embodiment, terminal device then passes through recognition of face after being extracted group photo image in group creating request
Algorithm determines the first facial image for including in the group photo image, and creates an ephemeral data for each first facial image
Library, the face feature parameter for storing first facial image, and the matching degree between other social accounts, after being convenient for
It is continuous to determine the corresponding social account of each first facial image.
In the present embodiment, the face feature parameter of each first facial image can include that multiple types specifically should
Face feature parameter includes but not limited to following at least one：Relative distance, shape of face parameter between interpupillary distance, each organ of face
Value, the coloration etc. of facial skin.Wherein, the relative distance between each organ of face can be：The distance between nose and face,
Left and right the distance between picks up the ears, forehead width etc..Terminal device can obtain to the greatest extent according to the shooting angle of collected facial image
Face feature parameter more than possible, to improve the accuracy rate of identification.But when shooting the group photo image due to each user,
It might not be shot in such a way that positive face is unobstructed, partial parameters can not obtain in possible face feature parameter, such as close
The side face of user A is only taken according in, in this case, can not obtain interpupillary distance, the parameters such as left and right the distance between is picked up the ears, then eventually
The above-mentioned facial image that can not be acquired is identified as sky by end equipment.
Optionally, in the present embodiment, if including two or more group photo images in the group creating request received,
Then identify the first facial image for including in each group photo image, and belonging to the first of same subscriber in multiple group photo images
Facial image merges.After the completion of merging, according in the face feature parameter for extracting each first facial image.For example, with
Family uploads group photo image A and group photo image B, in group photo image A comprising the first facial image 1, the first facial image 2 and
First facial image 3, includes the first facial image 4 and the first facial image 5 in group photo image B, and then terminal device is by the
One facial image 1 carries out similarity calculation with the first facial image 4 and the first facial image 5 respectively, if similarity is more than in advance
If similarity threshold, then it represents that two the first facial images belong to the same user, then merge operation；Conversely, dragging similar
Degree is less than default similarity threshold, then it represents that two the first facial images belong to two different users, and reservation two is the first
Face image.Continue above-mentioned example, if the similarity between the first facial image 1 and the first facial image 4 is more than default similarity
Threshold value then identifies that two images belong to the same user, then merge above-mentioned first facial image 1 and 4, and according to the first face figure
As 1 and 4 extraction face feature parameters, the case where account user identifies subsequently is repeated to reduce, while the first face face
Portion's characteristic parameter can be extracted according to multiple first facial images, improve the accuracy of parameter.
It is in S103, the face feature parameter of any first facial image is each with the user-association respectively
The face feature parameter that social account corresponds to user imports matching degree computation model, calculates first facial image and each institute
State the matching degree between social account；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the
The number for the face feature parameter that one facial image includes；The FiFor the face feature ginseng of i-th of first facial image
Several parameter values；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is certainly
Right constant.
In the present embodiment, terminal device is after the face feature data for being extracted each first facial image, it is determined that
Social account corresponding to each first facial image, therefore terminal device is before determining social account, it is thus necessary to determine that it initiates
Build which the social account associated by the user of group's request has, and each social account corresponds to the face feature parameter of user.
Specifically, it is determined that the mode of the social account of user-association can be：Buddy list of the user in social platform is obtained, it will
The social account for including in buddy list is identified as the social account of the user-association.Preferably, the accurate of group is built in order to improve
Degree, terminal device can be based on two degree of relationships, determine the social account of the user-association, wherein two degree of relationships include not only the user
Social account in buddy list, also comprising the social account for including in the corresponding buddy list of each social activity account in buddy list
Family.For example, comprising social account A in the buddy list of the user, then the social account of user-association is not only wrapped in two degree of relationships
Also include all social accounts for including in social account A buddy lists, to widen user-association containing social activity account A
Social account range, therefore the matched radix of the first facial image also increases, and the accuracy rate of identification accordingly improves.
In the present embodiment, the face feature parameter of each social account can be stored in the database of social network-i i-platform
It is interior, the identity information for head portrait, photograph album image and the user that the database root of the social network-i i-platform is uploaded according to social account, really
The face feature parameter of the fixed user account.Specific process is as follows：The database root is according to the identity information of user, such as property
Not, the information such as age, height screen the facial image identified from the head portrait of upload and photograph album image, choosing
Take out and meet the facial image of above-mentioned identity information, then according to identical facial image occurrence number number, determine the social activity
The facial image of account then obtains corresponding face feature parameter.
In the present embodiment, terminal device is to calculate the matching degree between the first facial image and each social account,
Therefore the face feature parameter of the first facial image can be imported with the face feature parameter of the social account of user-association respectively
Into matching degree computation model, it is emphasized that, the number of the face feature parameter of social account can be according to the first face figure
The number of the face feature parameter of picture matches.For example, the first facial image A is front acquisition, the face acquired is special
The number for levying parameter is 8, then the face feature parameter of social account is also 8；And the first facial image B is side acquisition
, the number of the face feature parameter acquired is 3, then correspondingly, the face feature parameter of social account is also to correspond to
3.
In the present embodiment, the face feature of the parameter format of the face feature parameter of the first facial image and social account
The parameter format of parameter is identical, therefore the physical meaning corresponding to the face feature parameter of same position is also identical.
For example, the parameter format of the face feature parameter of the first facial image be interpupillary distance, eyes opening angle, nose and mouth away from
From, then the parameter format of the face feature parameter of social account is also identical as above-mentioned format, therefore first face feature parameter
It indicates interpupillary distance, may thereby determine that difference between the two.Particularly, when some parameter value of the first facial image is sky
When, then without mathematic interpolation.
In S104, the highest social account of the matching degree is chosen as the corresponding target account of first facial image
Family.
In the present embodiment, terminal device is calculating the matching degree between first facial image and each social account
Afterwards, terminal device chooses the highest social account of matching degree as the corresponding target account of the first facial image, due to social account
The matching degree highest of the face feature parameter at family and the face feature parameter of the first facial image, then it represents that the reality corresponding to the two
Body user belongs to the maximum probability of same people, in this case, then identifies that the social activity account is the corresponding mesh of the first facial image
Mark account.
Preferably, terminal device is after determining the highest social account of matching degree, also by the matching degree numerical value with it is default
Degree of being effectively matched threshold value be compared, if the highest numerical value of the matching degree is still less than degree of being effectively matched threshold value, then it represents that first
Facial image can not be matched to target account, identify that the target account of first facial image is sky；If conversely, matching degree highest
Numerical value be greater than or equal to degree of being effectively matched threshold value, then identify that the target account is effective.
In S105, the group for including all target accounts is created.
In the present embodiment, terminal device then creates after the corresponding target account of each first facial image is determined
One group for including all target accounts.Specifically, terminal device obtains the account identification of each target account, and will be above-mentioned
Each account identification is filled in the parameter value such as the group members of group, and pass is associated between group and target account to establish
System, completes the operation of group creating.
Above as can be seen that a kind of method of group creating provided in an embodiment of the present invention includes group photo by receiving one
The group creating of image is asked, and identifies the first facial image for including in the group photo image, determines each first facial image
Corresponding social account, and handle social account corresponding with the first facial image is identified as target account, to pull automatically
Target account creates group.Compared with existing group creating method, group creating method provided by the invention is not necessarily to user hand
It is dynamic to choose target account, only it need to upload group photo image, you can automatically determine the social account implied in the group photo image, and according to
It identifies that obtained target account creates group, reduces the operating procedure of user, improve and build group efficiency.Especially is meetting or sending
The more convenient and larger number of users occasion of equity shooting group photo, can also realize and create group to all users on the scene
Purpose avoids the case where account omission is added.
Fig. 2 shows a kind of specific implementation flow charts of the method for group creating of second embodiment of the invention offer.Ginseng
As shown in Figure 2, relative to embodiment described in Fig. 1, a kind of method of group creating provided in this embodiment further include S201~
S207, specific details are as follows：
In S201, the publication image of the social account is obtained, and identifies and each described has issued what image included
Second facial image.
It should be noted that the step of Fig. 2 can be before S101, i.e., terminal device can be asked in user's initiation group creating
Before asking, it is determined that the face feature parameter of each social account associated with it, such as the user are added to a social activity
Account is good friend, and terminal device then determines the face feature parameter of the social activity account, executes the relevant operation of S201~S207；
When needing to calculate the matching degree between the first facial image and each social account, Fig. 2 embodiments can be executed before S103
Operation.
In the present embodiment, terminal device can access the database of the social activity account, determine that the social activity account is announced
Image, this has issued the image sent in the head portrait, photograph album and chat process that image includes the social activity account.
In the present embodiment, similar with S102, terminal device can identify that the social activity account has been sent out by face recognition algorithms
Above-mentioned facial image is identified as the second facial image by the facial image for including in cloth image.Certainly, a width has been issued in image
It can include a facial image, can also include multiple facial images, or even do not include facial image.
In S202, according to the photograph album classification belonging to the publication image, the publication image includes described second is determined
The weighted value of facial image.
In the present embodiment, it has each issued image and has corresponded to a photograph album type, which includes but not limited to：
Head portrait photograph album type, space photograph album type, chat record photograph album type etc..Different photograph album types correspond to different weighted values,
Due in order to determine the face feature parameter of social activity account correspondent entity user, it is therefore desirable to multiple from announced photograph album
The corresponding facial image of the entity user is positioned in facial image, and different photograph album types may include the face of entity user
The probability of image is different, such as the probability of head portrait photograph album is then larger, thus corresponding weighted value is also larger；And chat record
Possible many thing facial expression images or network image in photograph album, it is thus possible to the probability of the facial image including entity user is smaller,
Corresponding weighted value is smaller, to the photograph album type corresponding to the second different facial images, determines corresponding power
Weight values effectively improve the accuracy of the face feature parameter of social account.
In S203, the similarity between each second facial image is calculated.
In the present embodiment, terminal device identify it is each issued image after, obtain multiple second facial images, and
The similarity between each second facial image is calculated, specifically, all second facial images is compared two-by-two, determine two
Similarity between two.Wherein, the calculating of similarity can be：Determine the face feature parameter of the second facial image, and according to
The difference of face feature parameter between two the second facial images, determines above-mentioned similarity between the two.
In S204, second facial image is grouped based on the similarity, obtains multiple face groups；Its
In, the similarity between each second facial image in each face group is all higher than preset similarity threshold.
In the present embodiment, terminal device is after the similarity between calculating each second facial image, then according to upper
It states the second facial image of similarity pair and is grouped operation, obtain multiple face groups, the same face group indicates its corresponding reality
Body user is identical, therefore the similarity between the second facial image for including in the same face group is all higher than preset phase
Like degree threshold value.For example, including 4 the second facial images, respectively facial image A, facial image B, face in a certain face group
Image C and facial image D can then determine face figure since the second facial image of aforementioned four belongs to a face group
As the similarity of A and B, the similarity of facial image A and C, the similarity of facial image A and D, facial image B and C it is similar
Degree, the similarity of facial image B and D, the similarity of facial image C and D are all higher than similarity threshold.
By the above-mentioned division to the second face group, then the image integration of identical face can will be indicated as same right
To which the quantity of the object of identification will greatly reduce, and include multiple second face figures in a face group as being identified
Picture, to improve the accuracy for the face characteristic parameter that identification obtains.
In S205, according to the weighted value of each second facial image in the face group and comprising second
The number of facial image calculates the representative coefficient of the face group.
In the present embodiment, since the weighted value of the second facial image in face group is bigger, then it represents that the face group is should
The probability that social account corresponds to the face of user is bigger, and due to social account upload image be generally my image compared with
It is more, thus the occurrence number about my facial image is also larger, it is seen then that by above-mentioned two parameter, it may be determined that one
Face group whether be social account correspondent entity user probability size, indicated in the present embodiment with coefficient is represented.
In the present embodiment, terminal device is by the weighted value and second for each second facial image for including in face group
The number of facial image, which is imported into, represents coefficient computation model, and the representative coefficient of the face group, the wherein system of representatives is calculated
Counting computation model is specially：
Wherein, P (x) is the representative coefficient of face group；Q is the number of the second facial image；GjFor j-th of second face figures
The weighted value of picture.
In S206, representative face of the maximum face group of the value for representing coefficient as the social account is chosen
Group.
In the present embodiment, terminal device will choose system of representatives after calculating that each face group is corresponding and representing coefficient
The maximum face group of several values, the representative face group as the social activity account.Particularly, if the maximum face of the value for representing coefficient
The quantity of group is two or more, then the number of the second facial image corresponding to the maximum photograph album type of weight selection value is most
A face group, the representative face group as social account.For example, the maximum photograph album type of weighted value is head portrait photograph album class
Type counts the second face of the head portrait photograph album type that each face group includes then from representing in the maximum multiple face groups of coefficient
The number of image chooses the representative face group for including a most face group of head portrait photograph album type as social account.
In S207, determine that the social account corresponds to user's according to second facial image represented in face group
Face feature parameter.
In the present embodiment, after terminal device determines the representative face group of the social activity account, then face is represented according to this
The second facial image for including in group extracts the face feature parameter in each second facial image, then passes through multiple second
The face feature parameter of facial image determines that the social activity account corresponds to the face feature parameter of user.Wherein, from multiple second people
The face feature parameter of face image determines that the mode that the social activity account corresponds to the face feature parameter of user can be：From multiple ginsengs
The modes such as mean value, median are taken in numerical value, are not limited one by one herein.
In embodiments of the present invention, the publication image of social account is obtained, and the social activity is determined according to image has been issued
Account corresponds to the face feature parameter of user, face feature parameter is manually entered without social account, to reduce user's
Operation difficulty improves the intelligent of social account information collection.
A kind of specific implementation flow chart of the method for the group creating that Fig. 3 third embodiment of the invention provides.Referring to Fig. 3
It is shown, further include relative to embodiment described in Fig. 1 and Fig. 2, in a kind of method of group creating provided in this embodiment S301~
S303, specific details are as follows：
In S301, the location information of the user is obtained.
In the present embodiment, terminal device asks which the social account of user-association has to determine that group is built in the initiation,
The location information that the user is currently located can be obtained, due to for building group under the scenes such as party or party, it is each needed for build group
Use per family in identical geographic location area, therefore, can determine the user-association by the geographical location of each user
Social account.
In the present embodiment, the location data that terminal device can be fed back by the positioning device of the terminal of user, obtaining should
The location information of user can also provide the mark of the base station of mobile network according to the terminal for user, inquire where the base station
Position, base station position is identified as to the location information of user.
In S302, centered on the location information, preset effective distance is radius, and determination effectively builds group region.
In the present embodiment, terminal device is after the location information where user is determined, then true according to the location information
It is fixed effectively to build group region, determine that this is built the concrete mode in group region and is：Centered on the location information of user, it is preset effectively away from
From for radius, group pattern is effectively built, then this effectively builds the region that group figure is covered, then effectively to build group region.
All social accounts effectively built in group region are the social account of the user-association.
In S303, extracted from social account library current time be located at it is described effectively build social account in group region,
As the social account with the user-association.
In the present embodiment, terminal device inquires the location information of each social account in social account library, and chooses and work as
Front position information is effectively building social account of all social accounts as the user-association in group area coverage.Due to
In the scene met or be lined up, all target users for needing to build group are usually tight clusters, i.e. current time is poly-
In meeting or the place being lined up, therefore, the current location information of each social activity account is also built effectively in group region, so as to essence
Standard filters out and the relevant social network account of the user.
In embodiments of the present invention, social account is screened by location information, to a large amount of invalid societies of filtering
It hands over the accounts family, improves the efficiency and accuracy of group creating.
A kind of specific implementation flow chart of the method for the group creating that Fig. 4 fourth embodiment of the invention provides.Referring to Fig. 4
Shown, relative to embodiment described in Fig. 1 and Fig. 2, a kind of method of group creating provided in this embodiment further includes：S401~
S403, specific details are as follows：
In S401, the buddy list of the user is obtained.
When in the present embodiment, due to initiating group creating request, the society that is generally based in the buddy list of the user
Hand over the accounts what family was created, and the social account not in the buddy list of the user be typically can not be pulled to
In group.Therefore, terminal device can further be screened, carried according to the social account for including in the buddy list of user
Take out the relevant social account of this group creating.
In the present embodiment, terminal device reads database of the account in social network-i i-platform of the user, determines the use
The account identification for all social accounts for including in the corresponding buddy list of family account and the buddy list, then executes
The relevant operation of S102.
In S402, based between the social account in buddy list and the account of user interactive number and last
The interaction time of secondary interaction determines effective good friend's account in the buddy list.
In the present embodiment, it after the social account that terminal device includes in the buddy list that the user is determined, then obtains
It includes interactive secondary to take the interactive situation of the account of the user respectively between each social activity account in buddy list, the interaction situation
Number and the interaction time of last time interaction.Such as user need initiate one party or group pair when, in advance need with it is each
Social account is contacted, and determines the information such as place and the time of party, then within nearest a period of time, the user is inevitable
With need the social account for building group contacted, to then will produce corresponding interactive record in social network-i i-platform.Thus, eventually
End equipment can filter out effective good friend's account according to the interactive situation between the user account and other social accounts.
In the present embodiment, determining the concrete mode of effective good friend's account in buddy list can be：Interactive number is big
In preset times threshold value, and the date of last time interaction time needs apart from current date within validity date, meets
The social account of above-mentioned two condition is then effective good friend's account of user.
In S403, using effective good friend's account as the social account with the user-association.
In the present embodiment, using all social accounts for meeting preset condition as effective good friend's account of user, will expire
Other social accounts of sufficient preset condition select this from effective good friend's account and build faciation pass as invalid good friend's account
Social account, therefore using effective good friend's account as the social account of the user-association.
In embodiments of the present invention, by being screened to the social account in buddy list, select and build faciation pass
Effective good friend's account, to the quantity of matched social account needed for reducing, and filtered most of invalid social account
Family improves the efficiency and accuracy of group creating.
A kind of specific implementation flow chart of the method for the group creating that Fig. 5 fifth embodiment of the invention provides.Referring to Fig. 5
Shown, relative to embodiment described in Fig. 1, a kind of method of group creating provided in this embodiment further includes S501~S503, tool
Details are as follows for body：
In S501, the address list information of the user is obtained；Include multiple associated person informations in the address book information；
The associated person information includes telephone number and contact head image.
In the present embodiment, the address list of user can be stored in local storage, if terminal provided in this embodiment is set
Standby terminal as used by a user, then terminal device the address list of the user can be directly obtained by reading local storage
Information can send an address list information acquisition to the terminal of user and ask if the terminal device is not terminal used by a user
The address list information that the terminal asked, and receive user is returned according to the request.If the address list information of user is stored in high in the clouds number
According to library, then terminal device can be connected with cloud server, download the address list information of the user.
In the present embodiment, multiple associated person informations are contained in the address list information, and in each associated person information
Have recorded the telephone number and contact head image of the contact person.Wherein, contact head image can manually be uploaded by user, can also
By being extracted in the image of publication of the social account associated by the telephone number, the mode of extraction can refer to described in Fig. 2
Embodiment, details are not described herein.
In S502, the social account of the telephone number will be bound as the social account with the user-association.
In the present embodiment, since each social account is bundled with a telephone number, i.e., remember in social network-i i-platform
The correspondence of social account and telephone number is recorded.Therefore terminal device can be according to the contact electricity acquired in S501
Words, inquiry is bundled with the social account of the telephone number from social network-i i-platform, and the social activity account is identified as and user
Associated social activity account.If a certain telephone number has no the social account of binding, the corresponding social account of the telephone number is
It is empty.If a certain telephone number corresponds to two or more social accounts, multiple social accounts of the telephone number will be bundled with
It is identified as the social account of user-association.
In S503, determine that the social account corresponds to the face feature parameter of user according to the contact head image.
In the present embodiment, it is determined that after the social account of telephone number binding, then can will belong to the telephone number
The contact head image of the same associated person information corresponds to the face feature parameter of user as the social activity account.Due to contacting the number of people
Facial image as being generally contact person's entity user in the provisioning process, therefore can be directly true according to the contact head image
The fixed social activity account corresponds to the face feature parameter of user.
In embodiments of the present invention, by obtaining the address list information of user, the social account with the user-association is determined
Family and each associated social account correspond to the face feature parameter of user, to improve the accuracy rate of identification.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Fig. 6 shows a kind of structure diagram of the terminal for group creating that one embodiment of the invention provides, the group creating
The terminal each unit that includes be used to execute each step in the corresponding embodiments of Fig. 1.Corresponding to Fig. 1 and Fig. 1
Embodiment in associated description.For convenience of description, only the parts related to this embodiment are shown.
Referring to Fig. 6, the terminal device includes：
Group creating request reception unit 61, for receiving the request of Client-initiated group creating；The group creating is asked
It asks and carries group photo image；
Face feature parameter extraction unit 62, multiple first facial images that the group photo image includes for identification, and
Extract the face feature parameter of each first facial image；
Matching degree computing unit 63, for by the face feature parameter of any first facial image respectively with the use
The face feature parameter that the associated each social account in family corresponds to user imports matching degree computation model, calculates first face
Matching degree between image and each social account；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the
The number for the face feature parameter that one facial image includes；The FiFor the face feature ginseng of i-th of first facial image
Several parameter values；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is certainly
Right constant；
Target account selection unit 64, for choosing the highest social account of the matching degree as the first face figure
As corresponding target account；
Group creating unit 65, for creating the group for including all target accounts.
Optionally, terminal device further includes：
Issued image acquisition unit, the publication image for obtaining the social account, and identify it is each it is described
The second facial image that publication image includes；
Weighted value determination unit determines that the publication image includes for the photograph album classification belonging to the publication image
Second facial image weighted value；
Similarity calculated, for calculating the similarity between each second facial image；
Facial image grouped element is grouped second facial image for being based on the similarity, obtains more
A face group；Wherein, the similarity between each second facial image in each face group is all higher than preset
Similarity threshold；
Represent coefficient calculation unit, for according to the weighted value of each second facial image in the face group with
And comprising the second facial image number, calculate the representative coefficient of the face group；
Face group determination unit is represented, for choosing the maximum face group of the value for representing coefficient as the social account
The representative face group at family；
Social account features parameter acquiring unit, for determining institute according to second facial image represented in face group
State the face feature parameter that social account corresponds to user.
Optionally, terminal device further includes：
Location information acquiring unit, the location information for obtaining the user；
Group area determination unit effectively is built, for centered on the location information, preset effective distance to be radius, really
It is fixed effectively to build group region；
First interlock account determination unit is located at effective areas Jian Qun for extracting current time from social account library
Social account in domain, as the social account with the user-association.
Optionally, terminal device further includes：
Buddy list acquiring unit, the buddy list for obtaining the user；
Effective good friend's account acquiring unit, for based on mutual between the social account in buddy list and the account of user
Dynamic number and the interaction time of last time interaction, determine effective good friend's account in the buddy list；
Second interlock account determination unit, for using effective good friend's account as the social account with the user-association
Family.
Optionally, terminal device further includes：
Address list information acquiring unit, the address list information for obtaining the user；Include in the address book information
Multiple associated person informations；The associated person information includes telephone number and contact head image；
Third interlock account determination unit, the social account for that will bind the telephone number are closed as with the user
The social account of connection；
Contact head image extraction unit, for determining that the social account corresponds to the face of user according to the contact head image
Portion's characteristic parameter.
Therefore, terminal device provided in an embodiment of the present invention equally may not need user and choose target account manually, only need
Upload group photo image, you can automatically determine the social account implied in the group photo image, and the target account obtained according to identification
Group is created, reduces the operating procedure of user, improves and build group efficiency.Especially take a group photo more just in the shootings such as party or party
Prompt and larger number of users occasion can also realize the purpose that all users on the scene are created with group, avoid account something lost
The case where leakage is added.
Fig. 7 is a kind of schematic diagram for terminal device that another embodiment of the present invention provides.As shown in fig. 7, the embodiment
Terminal device 7 includes：It processor 70, memory 71 and is stored in the memory 71 and can be transported on the processor 70
Capable computer program 72, for example, group creating program.The processor 70 is realized when executing the computer program 72
State the step in the embodiment of the method for each group creating, such as S101 shown in FIG. 1 to S105.Alternatively, the processor 70
Realize the function of each unit in above-mentioned each device embodiment when executing the computer program 72, for example, module 61 shown in Fig. 6 to
65 functions.
Illustratively, the computer program 72 can be divided into one or more units, one or more of
Unit is stored in the memory 71, and is executed by the processor 70, to complete the present invention.One or more of lists
Member can complete the series of computation machine program instruction section of specific function, and the instruction segment is for describing the computer journey
Implementation procedure of the sequence 72 in the terminal device 7.For example, the computer program 72 can be divided into group creating request
Receiving unit, face feature parameter extraction unit, matching degree computing unit, target account selection unit and group creating list
Member, each unit concrete function are as follows：
Group creating request reception unit, for receiving the request of Client-initiated group creating；The group creating request
Carry group photo image；
Face feature parameter extraction unit, multiple first facial images that the group photo image includes for identification, and carry
Take the face feature parameter of each first facial image；
Matching degree computing unit, for by the face feature parameter of any first facial image respectively with the user
The face feature parameter that associated each social account corresponds to user imports matching degree computation model, calculates the first face figure
As the matching degree between each social account；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the
The number for the face feature parameter that one facial image includes；The FiFor the face feature ginseng of i-th of first facial image
Several parameter values；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is certainly
Right constant；
Target account selection unit, for choosing the highest social account of the matching degree as first facial image
Corresponding target account；
Group creating unit, for creating the group for including all target accounts.
The terminal device 7 can be that the calculating such as desktop PC, notebook, palm PC and cloud server are set
It is standby.The terminal device may include, but be not limited only to, processor 70, memory 71.It will be understood by those skilled in the art that Fig. 7
The only example of terminal device 7 does not constitute the restriction to terminal device 7, may include than illustrating more or fewer portions
Part either combines certain components or different components, such as the terminal device can also include input-output equipment, net
Network access device, bus etc..
Alleged processor 70 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), application-specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor can also be any conventional processor
Deng.
The memory 71 can be the internal storage unit of the terminal device 7, such as the hard disk of terminal device 7 or interior
It deposits.The memory 71 can also be to be equipped on the External memory equipment of the terminal device 7, such as the terminal device 7
Plug-in type hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card dodge
Deposit card (Flash Card) etc..Further, the memory 71 can also both include the storage inside list of the terminal device 7
Member also includes External memory equipment.The memory 71 is for storing needed for the computer program and the terminal device
Other programs and data.The memory 71 can be also used for temporarily storing the data that has exported or will export.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, it can also
It is that each unit physically exists alone, it can also be during two or more units be integrated in one unit.Above-mentioned integrated list
The form that hardware had both may be used in member is realized, can also be realized in the form of SFU software functional unit.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can be stored in a computer read/write memory medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of flow in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method..Wherein, the computer program includes computer program code, the computer program
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..Computer-readable Jie
Matter may include：Can carry the computer program code any entity or device, recording medium, USB flash disk, mobile hard disk,
Magnetic disc, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to legislation in jurisdiction and the requirement of patent practice
Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium does not include electric carrier signal and electricity
Believe signal.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although with reference to aforementioned reality
Applying example, invention is explained in detail, it will be understood by those of ordinary skill in the art that：It still can be to aforementioned each
Technical solution recorded in embodiment is modified or equivalent replacement of some of the technical features；And these are changed
Or replace, the spirit and scope for various embodiments of the present invention technical solution that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of method of group creating, which is characterized in that including：
Receive the request of Client-initiated group creating；The group creating request carries group photo image；
Identify multiple first facial images that the group photo image includes, and the face for extracting each first facial image is special
Levy parameter；
The face feature parameter of any first facial image is corresponding with each social account of the user-association respectively
The face feature parameter of user imports matching degree computation model, calculate first facial image and each social account it
Between matching degree；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the first
The number for the face feature parameter that face image includes；The FiFor the face feature parameter of i-th first facial image
Parameter value；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is that nature is normal
Number；
The highest social account of the matching degree is chosen as the corresponding target account of first facial image；
Create the group for including all target accounts.
2. according to the method described in claim 1, it is characterized in that, the method for the group creating further includes：
The publication image of the social account is obtained, and identifies and each described has issued the second facial image that image includes；
According to the photograph album classification belonging to the publication image, the weight for second facial image that the publication image includes is determined
Value；
Calculate the similarity between each second facial image；
Second facial image is grouped based on the similarity, obtains multiple face groups；Wherein, each face
The similarity between each second facial image in group is all higher than preset similarity threshold；
According to the weighted value of each second facial image in the face group and comprising the second facial image
Number, calculates the representative coefficient of the face group；
Choose representative face group of the maximum face group of the value for representing coefficient as the social account；
Determine that the social account corresponds to the face feature parameter of user according to second facial image represented in face group.
3. method according to claim 1 or 2, which is characterized in that the method for the group creating further includes：
Obtain the location information of the user；
Centered on the location information, preset effective distance is radius, and determination effectively builds group region；
Extracted from social account library current time be located at it is described effectively build social account in group region, as with the user
Associated social activity account.
4. method according to claim 1 or 2, which is characterized in that the method for the group creating further includes：
Obtain the buddy list of the user；
Interaction based on interactive number and last time interaction between the social account in buddy list and the account of user
Time determines effective good friend's account in the buddy list；
Using effective good friend's account as the social account with the user-association.
5. according to the method described in claim 1, it is characterized in that, the method for the group creating further includes：
Obtain the address list information of the user；Include multiple associated person informations in the address book information；Contact person's letter
Breath includes telephone number and contact head image；
The social account of the telephone number will be bound as the social account with the user-association；
Determine that the social account corresponds to the face feature parameter of user according to the contact head image.
6. a kind of terminal device, which is characterized in that the terminal device includes memory, processor and is stored in the storage
In device and the computer program that can run on the processor, the processor are realized as follows when executing the computer program
Step：
Receive the request of Client-initiated group creating；The group creating request carries group photo image；
Identify multiple first facial images that the group photo image includes, and the face for extracting each first facial image is special
Levy parameter；
The face feature parameter of any first facial image is corresponding with each social account of the user-association respectively
The face feature parameter of user imports matching degree computation model, calculate first facial image and each social account it
Between matching degree；The matching degree computation model is specially：
Wherein, the S is the matching degree between first facial image and the social account；The n is described the first
The number for the face feature parameter that face image includes；The FiFor the face feature parameter of i-th first facial image
Parameter value；The AiThe parameter value of the face feature parameter of user is corresponded to for i-th of social account；The e is that nature is normal
Number；
The highest social account of the matching degree is chosen as the corresponding target account of first facial image；
Create the group for including all target accounts.
7. terminal device according to claim 6, which is characterized in that the method for the group creating further includes：
The publication image of the social account is obtained, and identifies and each described has issued the second facial image that image includes；
According to the photograph album classification belonging to the publication image, the weight for second facial image that the publication image includes is determined
Value；
Calculate the similarity between each second facial image；
Second facial image is grouped based on the similarity, obtains multiple face groups；Wherein, each face
The similarity between each second facial image in group is all higher than preset similarity threshold；
According to the weighted value of each second facial image in the face group and comprising the second facial image
Number, calculates the representative coefficient of the face group；
Choose representative face group of the maximum face group of the value for representing coefficient as the social account；
Determine that the social account corresponds to the face feature parameter of user according to second facial image represented in face group.
8. the terminal device described according to claim 6 or 7, which is characterized in that the processor executes the computer program
Shi Shixian following steps：
Obtain the location information of the user；
Centered on the location information, preset effective distance is radius, and determination effectively builds group region；
Extracted from social account library current time be located at it is described effectively build social account in group region, as with the user
Associated social activity account.
9. the terminal device described according to claim 6 or 7, which is characterized in that the processor executes the computer program
Shi Shixian following steps：
Obtain the buddy list of the user；
Interaction based on interactive number and last time interaction between the social account in buddy list and the account of user
Time determines effective good friend's account in the buddy list；
Using effective good friend's account as the social account with the user-association.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, feature to exist
In when the computer program is executed by processor the step of any one of such as claim 1 to 5 of realization the method.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810121711.2A CN108512670B (en) | 2018-02-07 | 2018-02-07 | Group creation method and terminal thereof |
| PCT/CN2018/083287 WO2019153504A1 (en) | 2018-02-07 | 2018-04-17 | Group creation method and terminal thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810121711.2A CN108512670B (en) | 2018-02-07 | 2018-02-07 | Group creation method and terminal thereof |
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| CN108512670A true CN108512670A (en) | 2018-09-07 |
| CN108512670B CN108512670B (en) | 2020-07-03 |
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| CN201810121711.2A Active CN108512670B (en) | 2018-02-07 | 2018-02-07 | Group creation method and terminal thereof |
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| WO (1) | WO2019153504A1 (en) |
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| CN115333877A (en) * | 2021-04-26 | 2022-11-11 | 北京字跳网络技术有限公司 | Information processing method, device, terminal and storage medium |
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Also Published As
| Publication number | Publication date |
|---|---|
| CN108512670B (en) | 2020-07-03 |
| WO2019153504A1 (en) | 2019-08-15 |
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